Quantexa
Quantexa helps enterprises unify fragmented data to make faster, more accurate operational decisions.
Quantexa is a Decision Intelligence platform that connects siloed internal and external data sources to create contextualized views of people, organizations, and events using AI and machine learning. The platform delivers 90% more accuracy and 60x faster model resolution than traditional approaches through proprietary entity resolution and contextual scoring technology. It serves enterprise organizations across financial services, telecommunications, and public sector to automate compliance, detect fraud, and unify customer views without requiring legacy system replacement.
Problem solved
Organizations struggle to connect siloed data sources and identify hidden risk networks, resulting in high false positive rates, slow fraud detection, and fragmented customer views that slow decision-making.
Target customer
Enterprise financial institutions (especially top-10 global banks), insurance companies, telecommunications firms, and government agencies with complex compliance and fraud detection requirements.
Founders
V
Vishal Marria
Founder & CEO
Computer Science degree and Master's in Information Security; 20+ years experience at Dettica, SAS, EY (youngest Executive Director), HSBC, and Deutsche Bank.
J
Jamie Hutton
Co-Founder & CTO
Co-founder and Chief Technology Officer responsible for platform architecture.
R
Richard Seewald
Co-Founder & Managing Partner
Co-founder managing business operations and partnerships.
I
Imam Hoque
Co-Founder
Co-founder involved in company strategy and development.
F
Felix Hoddinott
Co-Founder
Co-founder contributing to platform development.
A
Alexon Bell
Co-Founder
Co-founder involved in early company direction.
L
Laura Hutton
Co-Founder
Co-founder supporting company growth.
Funding history
Series A
$3.3M
March 2017
Led by Albion Ventures
· HSBC
Series D
$157M
July 2021
Led by Unknown
· Unknown
Series E
$129M
April 2023
Led by Unknown
· Unknown
Series F
$175M
March 2025
Led by Teachers' Venture Growth (Ontario Teachers' Pension Plan)
· Warburg Pincus, Evolution Equity Partners, BNY Mellon, ABN AMRO, British Patient Capital
Total raised:
$546M
Pricing
Subscription-based SaaS model. Enterprise deals range $0.5M–$15M annually depending on data volume, user count, and requirements. Professional services typically add 20–40% of first-year contract value.
Notable customers
HSBC, Vodafone, ING, Danske Bank, OFX, Govia Thameslink Railway, NHS Foundation Trust, UK Cabinet Office, Deloitte
Integrations
Google Cloud, Microsoft Azure, Salesforce, HubSpot, Big Four consulting partnerships (Deloitte, Accenture, etc.)
Tech stack
React (JavaScript frameworks)
jQuery (JavaScript libraries)
MySQL (Databases)
WordPress (Blogs)
HubSpot Analytics (Analytics)
Matomo Analytics (Analytics)
Linkedin Insight Tag (Analytics)
Hotjar (Analytics)
Google Analytics (Analytics)
Google Ads Conversion Tracking (Analytics)
PHP (Programming languages)
Microsoft 365 (Email)
Cloudflare (CDN)
HubSpot (Marketing automation)
Google Tag Manager (Tag managers)
Salesforce (CRM)
Yoast SEO (SEO)
WP Engine (PaaS)
HubSpot Cookie Policy Banner (Cookie compliance)
Website
Competitors
NICE Actimize
Broader financial crime suite; less focused on entity resolution and contextual decision intelligence.
Ripjar
Smaller player in financial crime analytics; narrower feature set than Quantexa's full decision intelligence platform.
Oracle
Enterprise data management incumbent; not specialized in decision intelligence or financial crime detection.
Databricks
General-purpose data lakehouse platform; not focused on entity resolution or compliance use cases.
Why this matters: Quantexa achieved Centaur status in 2024 (>$100M ARR) with 40% YoY growth, raised $175M Series F at $2.6B valuation, and commands 7 of top 10 global banks as customers. The company represents the emerging Decision Intelligence category—a category leadership position combining AI, entity resolution, and compliance—with strong institutional backing and proven enterprise ROI.
Best for: Enterprise organizations requiring real-time fraud detection, AML compliance, customer due diligence, and unified entity views without replacing existing legacy systems.
Use cases
Financial Crime Detection & AML Compliance
Banks use Quantexa to reduce false positives in AML alerts by 90%, accelerate suspicious activity investigations, and identify hidden networks of connected entities. HSBC leveraged the platform to build their Global Social Network Analytics system, dramatically reducing false positive rates.
Unified Customer View Creation
Enterprises consolidate fragmented customer data across systems to create a single, accurate 360° customer profile for risk assessment and personalization. Vodafone used graph analytics and AI to unify customer data and accelerate growth initiatives.
Fraud & Corruption Detection
Organizations identify complex fraud networks and connected bad actors in real time. The UK Cabinet Office recovered £14M in fraudulent loans and exposed 250 connected networks using Quantexa's contextual scoring technology.
Healthcare Data Integration
NHS Foundation Trusts unified patient records from multiple systems into real-time, explainable 360° patient views for better clinical decision-making and care coordination.
Alternatives
NICE Actimize
Choose if you need a broader financial crime platform with more legacy integrations, though with less specialized entity resolution capability.
Ripjar
Choose for smaller financial crime analytics requirements or if you prefer a more agile, smaller vendor.
Palantir Foundry
Choose if you need extreme flexibility in data integration and have large dedicated teams; steeper learning curve and longer implementation.
FAQ
What does Quantexa do? +
Quantexa is a Decision Intelligence platform that unifies fragmented data using AI, machine learning, and entity resolution to create contextualized views of people, organizations, and events. It helps enterprises detect fraud, ensure compliance, reduce false positives by 90%, and make faster operational decisions. The platform integrates with existing systems without requiring replacement.
How much does Quantexa cost? +
Quantexa uses a subscription-based pricing model with enterprise deals ranging from $0.5M to $15M annually, determined by data volume, user count, and specific requirements. Professional services typically add 20–40% of first-year contract value. Contact sales for custom pricing.
What are alternatives to Quantexa? +
NICE Actimize (broader financial crime suite), Ripjar (smaller financial crime analytics player), Palantir Foundry (extreme data integration flexibility), and Oracle (enterprise data platforms). Each has different strengths depending on your specific use case and scale.
Who uses Quantexa? +
Enterprise financial institutions (7 of top 10 global banks), insurance companies, telecommunications firms, and government agencies. Notable customers include HSBC, Vodafone, ING, Danske Bank, and the UK Cabinet Office.
How does Quantexa compare to NICE Actimize? +
Quantexa specializes in probabilistic entity resolution and contextual decision intelligence with 90% better accuracy, while NICE Actimize offers a broader financial crime platform with more legacy integrations. Quantexa integrates with existing systems without replacement; NICE Actimize often requires deeper system changes. Quantexa's strength is in reducing false positives and uncovering hidden risk networks.
What makes Quantexa's technology proprietary? +
Quantexa's core differentiation is patented probabilistic entity resolution and contextual scoring that assesses context-enriched insights collectively. This delivers 60x faster analytical model resolution and 90% more accuracy than traditional approaches, enabling real-time identification of hidden risk networks.
Is Quantexa only for banking? +
While Quantexa leads in financial crime and compliance (serving 7 of top 10 global banks), the platform serves diverse industries including telecommunications (Vodafone), healthcare (NHS), and public sector (UK Cabinet Office). Any enterprise with complex compliance or fraud detection needs is a potential customer.
Tags
decision intelligence
entity resolution
fraud detection
AML compliance
financial crime
contextual AI
data unification